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Testing the GOES-R Algorithms with Advanced Himawari Imager Using the AER Algorithm Workbench, the operational GOES-R algorithms have been executed, without any code changes, on newly-released Himawari AHI data. By maintaining the same code base across multiple missions, algorithm improvements can be rapidly shared with users across the globe. To prepare the algorithms for run, a mapping was created from the AHI (Himawari) channels to ABI (GOES-R) channels, and provided as an input to the Algorithm Workbench. In addition, semi-static and ancillary inputs (NWP, Reynolds global SST, snow masks, etc.) were prepared for the associated observation times and sub-satellite position. AHI Results

The GOES-R integrated cloud algorithm suite was applied to early AHI images from January 25, 2015 at 0230Z to produce a cloud mask, cloud phase, and cloud top temperature.

Early Himawari Results Using the AER Algorithm Workbench

A flexible, multi-mission algorithm development, test and production environment

AHI Band 4 (0.86 µm) Reflectances Cloud Mask

Atmospheric and Environmental Research | 131 Hartwell Ave. | Lexington, MA 02421-3126 | Tel: +1 781-761-2288 | www.aer.com

 

AHI Results

The Algorithm Workbench Concept

About Atmospheric and Environmental Research AER provides science-based solutions to global environmental challenges. AER’s internationally renowned scientists and software engineers collaborate to transform state-of-the-art predictive science and analytical tools into practical systems that provide geophysical understanding, computer simulation, and forecasting. AER customers include government agencies and national laboratories, aerospace and defense contractors, and academia. AER is a division of Verisk Climate, a Verisk Analytics (Nasdaq:VRSK) business. AER is an ISO 9001 certified GSA contractor. To learn more about how the Algorithm Workbench and AER’s remote sensing software capabilities please contact David Hogan, Senior Vice President, Business Development at 781-761-2288, dhogan@aer.com or visit us on the web at www.aer.com

Features & Benefits Standard Design Protocols– structured methods for 

algorithm design and implementation   Speeds up development and migration  Allows for algorithm “buy‐back” 

Data Model Interface – standard APIs for sensor and meta‐data access   Insulates algorithm from underlying data formats 

and physical environment  Allows for seamless sharing of test data across 

development and operational environments   Algorithm Descriptor Database – programmatically‐

accessible database of algorithm and data characteristics  Allows automated generation of algorithm trees  Provides interfaces for algorithmic analysis of 

processing systems, and machine generation of program‐specific documentation 

Cloud Phase Cloud Top Temperature